Byung-Chull Bae
- Artificial Intelligence
- Human-Computer Interaction top 5%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Social Psychology
- Co-authors
- Yun-Gyung CheongYejin KimJun‐Dong ChoR. Michael YoungSeohui ParkJoohee KimJaewon ChoMark Nelson
- Topics
- Artificial Intelligence in Games (7 papers)Digital Games and Media (5 papers)Innovative Human-Technology Interaction (4 papers)
- Journals
- Applied SciencesIEEE Transactions on Computational Intelligence and AI in GamesETRI Journal
- Partner nations
- South KoreaUnited StatesDenmark
In The Last Decade
Byung-Chull Bae
28 papers receiving 246 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 89
- Human-Computer Interaction 78
- Computer Vision and Pattern Recognition 64
- Sociology and Political Science 46
- Social Psychology 34
Countries citing papers authored by Byung-Chull Bae
This map shows the geographic impact of Byung-Chull Bae's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Byung-Chull Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byung-Chull Bae more than expected).
Fields of papers citing papers by Byung-Chull Bae
This network shows the impact of papers produced by Byung-Chull Bae. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Byung-Chull Bae. The network helps show where Byung-Chull Bae may publish in the future.
Co-authorship network of co-authors of Byung-Chull Bae
This figure shows the co-authorship network connecting the top 25 collaborators of Byung-Chull Bae. A scholar is included among the top collaborators of Byung-Chull Bae based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Byung-Chull Bae. Byung-Chull Bae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | [CL-AFF Shared Task] Multi-label Text Classification Using an Emotion Embedding Model. | 1 |
| 5 | 1 | |
| 6 | 30 | |
| 7 | Modeling Happiness Using One-Class Autoencoder. | 0 |
| 8 | A Study of VR Interactive Storytelling for Empathy | 1 |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 17 | |
| 13 | 8 | |
| 14 | 16 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 20 | |
| 19 | 4 | |
| 20 | 13 |
About Byung-Chull Bae
Byung-Chull Bae is a scholar working on Human-Computer Interaction, Medical Laboratory Technology and Artificial Intelligence, having authored 30 papers that have together received 261 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (7 papers), Digital Games and Media (5 papers) and Innovative Human-Technology Interaction (4 papers). The work is most often cited by research in Human-Computer Interaction (78 citations), Computer Vision and Pattern Recognition (64 citations) and Artificial Intelligence (89 citations). Byung-Chull Bae has collaborated with scholars based in South Korea, United States and Denmark. Frequent co-authors include Yun-Gyung Cheong, Yejin Kim, Jun‐Dong Cho, R. Michael Young, Seohui Park, Joohee Kim, Jaewon Cho, Mark Nelson, Juhee Cho and Joohee Kim. Their work appears in journals such as Applied Sciences, IEEE Transactions on Computational Intelligence and AI in Games and ETRI Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.